Increasing city safety awareness regarding disruptive traffic stream
This work addresses city safety and secure travel for urban residents, but it appears incremental as it combines existing methods like knowledge discovery and demographics with inductive logic programming.
The study tackled the problem of improving city safety awareness by analyzing traffic violation reports, using inductive logic programming to automatically extract knowledge about violation behavior and its environmental impact.
Transportation systems serve the people in essence, in this study we focus in traffic information related to violation events to respond to safety requirements of the cities. Traffic violation events have an important role in city safety awareness and secure travel. In this work, we describe the use of knowledge discovery from traffic violation reports in combination with demographics approach using inductive logic programming to automatically extract knowledge about traffic violation behavior and their impact on the environment.